How should we do the history of Big Data?
How should we do the history of Big Data?
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我们应该如何梳理大数据的历史？
作者：
David Beer
Ian Hacking的文章《我们应该如何研究统计史？》，这篇文章反映了我们如何发展大数据的社会学历史。它认为，在社会统计的历史中，我们有一个相对发达的大数据物质现象的历史。然而，本文认为，我们现在需要认真对待“大数据”的概念，迫切需要探索这一概念所做的工作类型。这篇文章提出了一个探索大数据概念出现的工作计划，以便跟踪机构、组织、政治和日常对这个术语的采用。它认为，“大数据”一词具有编造数据的作用，因此，它在构建我们对这些数据及其提供的可能性的理解方面具有强大的作用。
Taking its lead from Ian Hacking’s article ‘How should we do the history of statistics?’, this article reflects on how we might develop a sociologically informed history of Big Data. It argues that within the history of social statistics we have a relatively well developed history of the material phenomenon of Big Data. Yet this article argues that we now need to take the concept of ‘Big Data’ seriously, there is a pressing need to explore the type of work that is being done by that concept. The article suggests a programme for work that explores the emergence of the concept of Big Data so as to track the institutional, organisational, political and everyday adoption of this term. It argues that the term Big Data has the effect of making-up data and, as such, is powerful in framing our understanding of those data and the possibilities that they afford.